Lecture

Mixture models: alternative specific variance

Description

This lecture covers the concept of alternative specific variance in mixture models, focusing on relaxing the i.i.d. assumption and the identification issue. The instructor explains how to handle unknown distributions and the variance assumption, using examples with Swissmetro data. The comparison of different models using 500 draws is also discussed, highlighting the estimation and scaling of parameters.

In MOOCs (2)

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_6th3dcjp

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

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